Automatic multi-document summarization for Indonesian documents using hybrid abstractive-extractive summarization technique

机译：使用混合摘要提取摘要技术对印度尼西亚文档进行自动多文档摘要

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This paper discusses the development of multi-document summarization for Indonesian documents by using hybrid abstractive-extractive summarization approach. Multi-document summarization is a technology that able to summarize multiple documents and present them in one summary. The method used in this research, hybrid abstractive-extractive summarization technique, is a summarization technique that is the combination of WordNet based text summarization (abstractive technique) and title word based text summarization (extractive technique). After an experiment with LSA as the comparison method, this research method successfully generated a well-compressed and readable summary with a fast processing time.

机译：本文讨论了使用混合抽象-提取摘要方法对印度尼西亚文档进行多文档摘要的开发。多文档摘要是一种能够摘要多个文档并将其呈现在一个摘要中的技术。本研究中使用的方法，混合抽象-提取摘要技术，是一种摘要技术，是基于WordNet的文本摘要（抽象技术）和基于标题词的文本摘要（抽象技术）的组合。通过使用LSA作为比较方法进行实验后，该研究方法成功生成了压缩良好且可读性强的摘要，并且处理时间短。

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《International Conference on Information Technology and Electrical Engineering》|2014年|1-5|共5页
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Yapinus Glorian; Erwin Alva; Galinium Maulahikmah; Muliady Wahyu;
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document handling; natural language processing; Indonesian documents; LSA; WordNet based text summarization; automatic multidocument summarization; hybrid abstractive-extractive summarization technique; title word based text summarization; Economics; Educational institutions; Electrical engineering; Feature extraction; Hybrid power systems; Information technology; Semantics; Abstractive Technique; Extractive Technique; Indonesian Documents; Multi-Document Summarization;

机译：文档处理;自然语言处理;印尼文文档; LSA;基于WordNet的文本摘要;自动多文档摘要;混合抽象-提取摘要技术;基于标题词的文本摘要;经济;教育机构;电气工程;特征提取;混合动力系统;信息技术;语义学;抽象技术;提取技术;印尼文献;多文献摘要;

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1. Single-document and multi-document summarization techniques for email threads using sentence compression [J] . David M. Zajic, Bonnie J. Dorr, Jimmy Lin Information Processing & Management . 2008,第4期

机译：使用句子压缩的电子邮件线程的单文档和多文档摘要技术
2. Assessing shallow sentence scoring techniques and combinations for single and multi-document summarization [J] . Oliveira Hilario, Ferreira Rafael, Lima Rinaldo, Expert Systems with Application . 2016,第deca期

机译：评估浅句子评分技术及其对单文档和多文档摘要的组合
3. CLUSTERING TECHNIQUES AND DISCRETE PARTICLE SWARM OPTIMIZATION ALGORITHM FOR MULTI-DOCUMENT SUMMARIZATION [J] . Ramiz M. Aliguliyev Computational Intelligence . 2010,第4期

机译：多文档摘要的聚类技术和离散粒子群优化算法
4. Adapting Neural Single-Document Summarization Model for Abstractive Multi-Document Summarization: A Pilot Study [C] . Jianmin Zhang, Jiwei Tan, Xiaojun Wan International natural language generation conference . 2018

机译：自适应神经单文档摘要模型进行抽象多文档摘要的先导研究
5. Multi-document Summarization Based on Document Clustering and Neural Sentence Fusion [D] . Fuad, Tanvir Ahmed. 2018

机译：基于文档聚类和神经句子融合的多文件摘要
6. Extractive single document summarization using binary differential evolution: Optimization of different sentence quality measures [O] . Naveen Saini, Sriparna Saha, Dhiraj Chakraborty, 2019

机译：采用二元差分演进的提取单一文件摘要：不同句子质量措施的优化
7. Design and Implementation of Multi-Document Automatic Summarization System Based on Multi-Document Rhetorical Structure [O] . 兰希 2014

机译：基于多文档修辞结构的多文档自动摘要系统的设计与实现
8. Automatic Summarization with Sloth (Summarizes Lengthy Documents and Outputs The Highlights) [R] . Kaplin, D. B. 2002

机译：树懒自动摘要（总结冗长的文档和输出亮点）

Automatic multi-document summarization for Indonesian documents using hybrid abstractive-extractive summarization technique

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